Marta Cimitile

Lerina Aversano

Immacolata Cristina Nettore

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks.

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Proceedings of the Product-Focused Software Process Improvement, 2022

An enhanced UNet variant for Effective Lung Cancer Detection.

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Proceedings of the International Joint Conference on Neural Networks, 2022

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks.

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Proceedings of the International Joint Conference on Neural Networks, 2022

Is There Any Correlation between Refactoring and Design Smell Occurrence?

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Proceedings of the 17th International Conference on Software Technologies, 2022

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.

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Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.

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Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for early prediction of Heart Disease.

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Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

An Explainable and Evolving Car Driver Identification System based on Decision Trees.

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Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy.

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Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021

Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition.

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[DOI]

Sensors, 2021

Deep neural networks ensemble to detect COVID-19 from CT scans.

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Pattern Recognit., 2021

Continuous authentication using deep neural networks ensemble on keystroke dynamics.

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PeerJ Comput. Sci., 2021

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics.

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Neurocomputing, 2021

A systematic review on Deep Learning approaches for IoT security.

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Comput. Sci. Rev., 2021

Thyroid Disease Treatment prediction with machine learning approaches.

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[DOI]

Chiara Verdone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Technical Debt predictive model through Temporal Convolutional Network.

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Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans.

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Proceedings of the International Joint Conference on Neural Networks, 2021

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks.

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Proceedings of the 16th International Conference on Software Technologies, 2021

Anomaly Detection of actual IoT traffic flows through Deep Learning.

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Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Using Process Mining to Understand Students' and Teams' Dynamics.

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Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2021

An Explainable Approach for Car Driver Identification.

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Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

A Machine Learning Approach for Walker Identification Using Smartphone Sensors.

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Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks.

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ACM Trans. Comput. Educ., 2020

Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study.

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IEEE Access, 2020

Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning.

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IEEE Access, 2020

A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code.

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Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics.

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Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data-Aware Declarative Process Mining for Malware Detection.

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Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Investigating on the Relationships between Design Smells Removals and Refactorings.

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Proceedings of the 15th International Conference on Software Technologies, 2020

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction.

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Proceedings of the 15th International Conference on Software Technologies, 2020

Towards automatic assessment of object-oriented programs.

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Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Fuzzy Neural Networks to Detect Parkinson Disease.

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Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Malware Phylogeny Analysis using Data-Aware Declarative Process Mining.

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Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Dynamic malware detection and phylogeny analysis using process mining.

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Int. J. Inf. Sec., 2019

Mining Developer's Behavior from Web-Based IDE Logs.

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Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Evaluating coding behavior in software development processes: a process mining approach.

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Proceedings of the International Conference on Software and System Processes, 2019

Keystroke Analysis for User Identification using Deep Neural Networks.

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Proceedings of the International Joint Conference on Neural Networks, 2019

On the Students' Misconceptions in Object-Oriented Language Constructs.

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Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Learning analytics to improve coding abilities: a fuzzy-based process mining approach.

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Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Cross-Organisational Process Mining in Cloud Environments.

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[DOI]

Francesco Mercaldo

J. Inf. Knowl. Manag., 2018

Driver Identification: a Time Series Classification Approach.

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Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Multi-source Machine Learning Approach to Predict Defect Prone Components.

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Proceedings of the 13th International Conference on Software Technologies, 2018

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features.

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Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Fuzzy Clustering-based Approach to study Malware Phylogeny.

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Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

A time series classification approach to game bot detection.

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Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

A Machine Learning Approach for Game Bot Detection Through Behavioural Features.

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Proceedings of the Software Technologies - 12th International Joint Conference, 2017

Game Bot Detection in Online Role Player Game through Behavioural Features.

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Proceedings of the 12th International Conference on Software Technologies, 2017

A fuzzy-based process mining approach for dynamic malware detection.

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Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A fuzzy-based autoscaling approach for process centered cloud systems.

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Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Mining static and dynamic crosscutting concerns: a role-based approach.

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J. Softw. Evol. Process., 2016

Do activity lifecycles affect the validity of a business rule in a business process?

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Chiara Di Francescomarino

Inf. Syst., 2016

Automated development of constraint-driven web applications.

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Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A constraint-driven approach for dynamic malware detection.

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Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Reducing Static Dependences Exploiting a Declarative Design Patterns Framework.

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Proceedings of the 11th International Joint Conference on Software Technologies (ICSOFT 2016) - Volume 2: ICSOFT-PT, Lisbon, Portugal, July 24, 2016

Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code.

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Francesco Mercaldo

Proceedings of the Fourth International Symposium on Computing and Networking, 2016

2015

Online Discovery of Declarative Process Models from Event Streams.

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IEEE Trans. Serv. Comput., 2015

Integrating Model Driven and Model Checking to Mine Design Patterns.

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Proceedings of the Software Technologies - 10th International Joint Conference, 2015

Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems.

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Proceedings of the ICSOFT-PT 2015, 2015

Generating Event Logs Through the Simulation of Declare Models.

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Proceedings of the Enterprise and Organizational Modeling and Simulation, 2015

Improving Design Patterns Finder Precision Using a Model Checking Approach.

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Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), 2015

2014

Design pattern detection using a DSL-driven graph matching approach.

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J. Softw. Evol. Process., 2014

How changes affect software entropy: an empirical study.

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Gerardo Canfora

Luigi Cerulo

Massimiliano Di Penta

Empir. Softw. Eng., 2014

Declarative design pattern-based development using aspect oriented programming.

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Proceedings of the Symposium on Applied Computing, 2014

Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities.

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Chiara Di Francescomarino

Proceedings of the Rules on the Web. From Theory to Applications, 2014

Discovering cross-organizational business rules from the cloud.

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Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Lights, Camera, Action! Business Process Movies for Online Process Discovery.

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Andrea Burattin

Proceedings of the Business Process Management Workshops, 2014

2013

Web applications design recovery and evolution with RE-UWA.

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Damiano Distante

J. Softw. Evol. Process., 2013

Model driven evolution of web applications.

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Proceedings of the 15th IEEE International Symposium on Web Systems Evolution, 2013

A model-driven graph-matching approach for design pattern detection.

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[DOI]

Giuseppe Antonio Di Lucca

Proceedings of the 20th Working Conference on Reverse Engineering, 2013

Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models.

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Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

Distributed Software Development with Knowledge Experience Packages.

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Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Workshops, 2013

Process Lines for Automatic Workflow Development.

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Proceedings of the ICSOFT 2013, 2013

An Aspect Oriented Framework for Flexible Design Pattern-based Development.

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Proceedings of the ICSOFT 2013, 2013

2012

Development of flexible process-centric web applications: An integrated model driven approach.

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Proceedings of the 14th IEEE International Symposium on Web Systems Evolution, 2012

M3D: a tool for the model driven development of web applications.

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Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Model Driven Development of Process-centric Web Applications.

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Proceedings of the ICSOFT 2012 - Proceedings of the 7th International Conference on Software Paradigm Trends, Rome, Italy, 24, 2012

An ontological multi-criteria optimization system for Workforce Management.

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[DOI]

Matteo Gaeta

Vincenzo Loia

Proceedings of the FUZZ-IEEE 2012, 2012

Using Declarative Workflow Languages to Develop Process-Centric Web Applications.

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Proceedings of the 16th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2012

2011

Social interactions around cross-system bug fixings: the case of FreeBSD and OpenBSD.

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[DOI]

Gerardo Canfora

Luigi Cerulo

Massimiliano Di Penta

Proceedings of the 8th International Working Conference on Mining Software Repositories, 2011

Automatic Generation of Multi Platform Web Map Mobile Applications.

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Michele Risi

Genoveffa Tortora

Proceedings of the 17th International Conference on Distributed Multimedia Systems, 2011

2010

Web applications design evolution with UWA.

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Proceedings of the 12th IEEE International Symposium on Web Systems Evolution, 2010

2009

Empirical Validation of Knowledge Packages as Facilitators for Knowledge Transfer.

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J. Inf. Knowl. Manag., 2009

Managing Business Process Flexibility and Reuse through Business Process Lines.

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Nicola Boffoli

Proceedings of the ICSOFT 2009, 2009

Tacit Suggestions Extraction Process for Consumer-Oriented Services.

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Proceedings of the Third International Conference on the Digital Society (ICDS 2009), 2009

2008

Empirical Investigation of the Efficacy and Efficiency of Tools for Transferring Software Engineering Knowledge.

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J. Inf. Knowl. Manag., 2008

An Empirical Study on Software Engineering Knowledge/Experience Packages.

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Proceedings of the Product-Focused Software Process Improvement, 2008

Controlled Experiment on Search Engine Knowledge Extraction Capabilities.

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Danilo Caivano

Proceedings of the ICSOFT 2008, 2008

2007

Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations.

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Proceedings of the Software and Data Technologies - Second International Conference, 2007

Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer.

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